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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Detection of Water Content in Lettuce Canopies Based on Hyperspectral Imaging Technology under Outdoor Conditions
Jing Zhao, Hong Li, Chao Chen, et al.
Agriculture (2022) Vol. 12, Iss. 11, pp. 1796-1796
Open Access | Times Cited: 12

Showing 12 citing articles:

Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data
Emre Tunca, Eyüp Seli̇m Köksal, Elif ÖZTÜRK, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 12
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
Sulaymon Eshkabilov, Ivan Šimko
(2024)
Open Access | Times Cited: 4
Estimation models for maize leaf water content at various stages using near-infrared spectroscopy
Yi Ren, Wang Zhang, Hui-Ting Wang, et al.
Infrared Physics & Technology (2025), pp. 105732-105732
Closed Access
How to utilize far-red photons effectively: substitution or supplementation with photosynthetically active radiation? A case study of greenhouse lettuce
Zhengnan Yan, Xin Li, Zhixin Li, et al.
BMC Plant Biology (2025) Vol. 25, Iss. 1
Open Access
Fluorescence hyperspectral imaging for detection of selenium content in lettuce leaves under cadmium-free and cadmium environments
Lei Shi, Jun Sun, Sunli Cong, et al.
Food Chemistry (2025), pp. 144055-144055
Closed Access
Advancing lettuce physiological state recognition in IoT aeroponic systems: A meta-learning-driven data fusion approach
Osama Elsherbiny, Jianmin Gao, Ming Ma, et al.
European Journal of Agronomy (2024) Vol. 161, pp. 127387-127387
Closed Access | Times Cited: 3
Supplementary Far-Red Light for Photosynthetic Active Radiation Differentially Influences the Photochemical Efficiency and Biomass Accumulation in Greenhouse-Grown Lettuce
Haijie Dou, Xin Li, Zhixin Li, et al.
Plants (2024) Vol. 13, Iss. 15, pp. 2169-2169
Open Access | Times Cited: 2
SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure
Sheng Ye, Weihua Liu, Shan Zeng, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6194-6194
Open Access | Times Cited: 4
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
Sulaymon Eshkabilov, Ivan Šimko
Agriculture (2024) Vol. 14, Iss. 6, pp. 834-834
Open Access | Times Cited: 1
Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields
Chenkai Gao, Shuimiao Liu, Pengnian Wu, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2569-2569
Open Access | Times Cited: 1
Estimation of goji berry (Lycium barbarum L.) canopy water content based on optimal spectral indices
Jin-Long ZHAO, Xiaojie Liang, Xiong Kang, et al.
Scientia Horticulturae (2024) Vol. 337, pp. 113589-113589
Open Access
Research on Lettuce Canopy Image Processing Method Based on Hyperspectral Imaging Technology
Chao Chen, Yue Jiang, Xiaoqing Zhu
Plants (2024) Vol. 13, Iss. 23, pp. 3403-3403
Open Access
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